无法绘制石榴图(未找到pygraphviz)

问题描述

我不知道发生了什么，但我似乎不再能够从PyCharm内部绘制石榴图.我将conda用作程序包管理器，但已经通过了通常的操作:

I can't understand what is going on but I no longer seem to be able to plot a pomegranate graph from inside PyCharm.I'm using conda as package manager and have gone though the usual:

conda install graphviz
conda install python-graphviz

但是每次我从PyCharm内部调用 model.plot()时都会得到

but every time I call model.plot() from inside PyCharm I get

Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File "/Applications/PyCharm.app/Contents/helpers/pydev/_pydev_bundle/pydev_umd.py", line 198, in runfile
    pydev_imports.execfile(filename, global_vars, local_vars)  # execute the script
  File "/Applications/PyCharm.app/Contents/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "/Users/.../xai/import.py", line 36, in <module>
    model.plot()
  File "pomegranate/BayesianNetwork.pyx", line 281, in pomegranate.BayesianNetwork.BayesianNetwork.plot
ValueError: must have pygraphviz installed for visualization

我显然已经尝试安装 pygraphviz ，但似乎没有什么作用

I have obviously already tried installing pygraphviz but it seems to make no difference

推荐答案

遇到了类似的问题，尽管@Baumann的解决方案对我不起作用，但安装 matplotlib 可以解决我的问题(在Python 3.6下Win10和WSL).

Faced a similar problem and while the solution from @Baumann did not work for me, installing matplotlib fixed my problem (python 3.6 under Win10 and WSL).

建议的背景: BayesianNetwork.pyx 中的石榴代码使用相同的try语句捕获多个导入异常(请参见下面的代码，该代码也可在 github，最新提交f116357 ，就我而言，即使我安装了 pygraphviz 安装的 matplotlib 导致令人沮丧的异常出现.

Background for suggesting this: the pomegranate code in BayesianNetwork.pyx catches multiple imports exceptions with the same try statement (see code below available also on github, latest commit f116357 and in my case even though i had installed pygraphviz not having matplotlib installed was resulting in the frustrating exception being raised.

第40行及以后:

try:
    import tempfile
    import pygraphviz
    import matplotlib.pyplot as plt
    import matplotlib.image
except ImportError:
    pygraphviz = None

然后从222行开始:

if pygraphviz is not None:
    G = pygraphviz.AGraph(directed=True)

    for state in self.states:
        G.add_node(state.name, color='red')

    for parent, child in self.edges:
        G.add_edge(parent.name, child.name)

    if filename is None:
        with tempfile.NamedTemporaryFile() as tf:
            G.draw(tf.name, format='png', prog='dot')
            img = matplotlib.image.imread(tf.name)
            plt.imshow(img)
            plt.axis('off')
    else:
        G.draw(filename, format='pdf', prog='dot')

else:
    raise ValueError("must have pygraphviz installed for visualization")

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